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24 lines
966 B
Python
24 lines
966 B
Python
# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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import pytest
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from tests.models.utils import (CLSPoolingRerankModelInfo,
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LASTPoolingRerankModelInfo, RerankModelInfo)
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from .mteb_utils import mteb_test_rerank_models
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RERANK_MODELS = [
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CLSPoolingRerankModelInfo("cross-encoder/ms-marco-TinyBERT-L-2-v2",
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mteb_score=0.32898,
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architecture="BertForSequenceClassification"),
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LASTPoolingRerankModelInfo("tomaarsen/Qwen3-Reranker-0.6B-seq-cls",
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mteb_score=0.25736,
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architecture="Qwen3ForSequenceClassification")
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]
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@pytest.mark.parametrize("model_info", RERANK_MODELS)
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def test_rerank_models_mteb(hf_runner, vllm_runner,
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model_info: RerankModelInfo) -> None:
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mteb_test_rerank_models(hf_runner, vllm_runner, model_info)
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